Emotions play a very important role in our daily life as well as in people's behavior in various situations. Emotions act as a set of rules in the decision making process that dictates a subject's behavior, i.e. the way a person reacts to the same situation but in a different emotional state (e.g. if the subject reacts anxious, elated, aggressive or friendly to the same stimulus), this situation also affects an individual's work performance, recreational and sports activities as well as social interactions. This article focuses on the possibility of increasing athletic performance by analyzing and monitoring the emotional state of an athlete through physiological measurements, specifically electroencephalogram (EEG) analysis as a methodology for brain waves recording using techniques such as spatial and temporal wavelet in order to calculate the similarity in brain activity behavior and brain activation bands to differentiate activity characteristics from one emotion to another. This work also has the purpose of creating a computational tool to help make decisions in an early and timely manner, before various situations may affect the performance of an athlete.